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PPubMed9 Dec 2023Cited 55×

Review of Approaches to Minimise the Cost of Simulation-Based Optimisation for Liquid Composite Moulding Processes

Boon Xian Chai, Boris Eisenbart, Mostafa Nikzad, Bronwyn Fox, Yuqi Wang, Kyaw Hlaing Bwar, Kaiyu Zhang, Marcin Sosnowski, Jaroslaw Krzywanski, Karolina Grabowska, Dorian Skrobek, Ghulam Moeen Uddin, Yunfei Gao, Anna Zylka, Anna Kulakowska, Bachil El Fil

Abstract

'Yuqi Wang' 'Kyaw Hlaing Bwar' 'Kaiyu Zhang' 'Marcin Sosnowski' 'Jaroslaw Krzywanski' 'Karolina Grabowska' 'Dorian Skrobek' 'Ghulam Moeen Uddin' 'Yunfei Gao' 'Anna Zylka' 'Anna Kulakowska' 'Bachil El Fil'] The utilisation of numerical process simulation has greatly facilitated the challenging task of liquid composite moulding (LCM) process optimisation, providing ease of solution evaluation at a significantly reduced cost compared to complete reliance on physical prototyping. However, due to the process complexity, such process simulation is still considerably expensive at present. In this paper, cost-saving approaches to minimising the computational cost of simulation-based optimisation for LCM processes are compiled and discussed. Their specific applicability, efficacy, and suitability for various optimisation/moulding scenarios are extensively explored in detail. The comprehensive analysation and assimilation of their operation alongside applicability for the problem domain of interest are accomplished in this paper to further complement and contribute to future simulation-based optimisation capabilities for composite moulding processes. The importance of balancing the cost-accuracy trade-off is also repeatedly emphasised, allowing for substantial cost reductions while ensuring a desirable level of optimization reliability.

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